Variability of geological interpretations of a mineral deposit: Quantitative study and implications

Paul Marchal and Guillaume Caumon and Pauline Collon and Patrick Ledru and Kelsey Mckee and Pat Taylor and Julien Mercadier. ( 2025 )
in: Ore Geology Reviews, 187 (107010)

Abstract

Assessing uncertainties is an essential step throughout the mineral resource development cycle, from exploration campaigns to development planning and remediation. These uncertainties reflect the scarcity of subsurface data, which need to be complemented by geological knowledge.

This paper aims to assess the impact of conceptual variations on the geometry of uranium deposits. For this purpose, a case study was carried out on the interpretation of drilling data in a 2D section, in the context of an unconformity-related uranium deposit in the Athabasca Basin. Based on a reference section from this area, a blank cross-section with synthetic drillcores was produced and given to 32 interpreters. These 32 interpreters are from various backgrounds and are divided between experts in uranium geology (8) and nonexperts (24). A set of fifty mathematical criteria is defined and correspond to five categories: mineralized zones, associated altered zones, structural network, geometric relationship between structures and mineralization, and annotations. Individual and group analyses of the defined criteria are performed.

Results show that uranium experts and non-experts are difficult to discriminate by the metrics used in this study, but experts tend to filter out the most speculative conceptual models. A generalized parsimony of interpretations is observed for all survey respondents. What also emerges is that fault network connectivity is key to conceptual model discrimination in hydrothermal deposits.

Download / Links

BibTeX Reference

@article{marchal:hal-05484447,
 abstract = {

Assessing uncertainties is an essential step throughout the mineral resource development cycle, from exploration campaigns to development planning and remediation. These uncertainties reflect the scarcity of subsurface data, which need to be complemented by geological knowledge.

This paper aims to assess the impact of conceptual variations on the geometry of uranium deposits. For this purpose, a case study was carried out on the interpretation of drilling data in a 2D section, in the context of an unconformity-related uranium deposit in the Athabasca Basin. Based on a reference section from this area, a blank cross-section with synthetic drillcores was produced and given to 32 interpreters. These 32 interpreters are from various backgrounds and are divided between experts in uranium geology (8) and nonexperts (24). A set of fifty mathematical criteria is defined and correspond to five categories: mineralized zones, associated altered zones, structural network, geometric relationship between structures and mineralization, and annotations. Individual and group analyses of the defined criteria are performed.

Results show that uranium experts and non-experts are difficult to discriminate by the metrics used in this study, but experts tend to filter out the most speculative conceptual models. A generalized parsimony of interpretations is observed for all survey respondents. What also emerges is that fault network connectivity is key to conceptual model discrimination in hydrothermal deposits.

}, author = {Marchal, Paul and Caumon, Guillaume and Collon, Pauline and Ledru, Patrick and Mckee, Kelsey and Taylor, Pat and Mercadier, Julien}, doi = {10.1016/j.oregeorev.2025.107010}, hal_id = {hal-05484447}, hal_version = {v1}, journal = {{Ore Geology Reviews}}, keywords = {Interpretation; Mining; Uncertainties; Mineral exploration ;Hydrothermal alteration; Unconformity-related uranium deposit}, month = {December}, pages = {107010}, pdf = {https://hal.univ-lorraine.fr/hal-05484447v1/file/1-s2.0-S0169136825005700-main.pdf}, publisher = {{Elsevier}}, title = {{Variability of geological interpretations of a mineral deposit: Quantitative study and implications}}, url = {https://hal.univ-lorraine.fr/hal-05484447}, volume = {187}, year = {2025} }